Adaptive batch monitoring using hierarchical PCA
Adaptive batch monitoring using hierarchical PCA
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DOI：
10.1016/s0169-7439(98)00024-0
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发表时间：
1998-07-06
影响因子：
3.9
通讯作者：
Wold, S
中科院分区：
文献类型：
--
作者：
Rannar, S;MacGregor, JF;Wold, S
提出了一种使用过程变量轨迹监控批处理过程的新方法。它的开发是为了克服 Nomikos 和 MacGregor [P. Nomikos，J.F. MacGregor，使用多路主成分分析监控批处理过程，Am。研究所。化学。工程师。 J.40(1994)1361-1375； P. Nomikos、J.F. MacGregor，用于批处理的多元 SPC 图表，Technometrics 37 (1995) 41-59； P. Nomikos、J.F. MacCregor，监控批处理过程中的多路偏最小二乘法，Chemometrics Intell，实验室。系统。 30 (1995) 97-108]用于估计或填充从当前时间到批次结束的过程变量轨迹偏差的未知部分。该方法基于递归多块（分层）PCA/PLS 方法，该方法以顺序和自适应方式处理数据。适应率可以通过以指数方式控制过去数据权重的参数轻松控制。该算法根据工业批量聚合过程数据进行评估，并与 Nomikos 和 MacGregor 的多路 PCA/PLS 方法进行比较。当监控多阶段批处理过程时，该方法可能具有显着的好处，其中潜在变量结构可以在批处理期间的多个点发生变化。 (C) 1998 Elsevier Science B.V. 保留所有权利。
A new approach to monitoring batch processes using the process variable trajectories is presented. It was developed to overcome the need in the approach of Nomikos and MacGregor [P. Nomikos, J.F. MacGregor, Monitoring of batch processes using multi-way principal components analysis, Am. Inst. Chem. Eng. J. 40 (1994) 1361-1375; P. Nomikos, J.F. MacGregor, Multivariate SPC charts for batch processes, Technometrics 37 (1995) 41-59; P. Nomikos, J.F. MacCregor, Multi-way partial least squares in monitoring batch processes, Chemometrics Intell, Lab. Syst. 30 (1995) 97-108] for estimating or filling in the unknown part of the process variable trajectory deviations from the current time until the end of the batch. The approach is based on a recursive multi-block (hierarchical) PCA/PLS method which processes the data in a sequential and adaptive manner. The rate of adaptation is easily controlled with a parameter which controls the weighting of past data in an exponential manner. The algorithm is evaluated on industrial batch polymerization process data and is compared to the multi-way PCA/PLS approaches of Nomikos and MacGregor. The approach may have significant benefits when monitoring multi-stage batch processes where the latent variable structure can change at several points during the batch. (C) 1998 Elsevier Science B.V. All rights reserved.